The complexity of multi-domain access control policy integration makes it difficult to understand and manage the policy conflict information. The policy information visualization technology can express the logical rel...The complexity of multi-domain access control policy integration makes it difficult to understand and manage the policy conflict information. The policy information visualization technology can express the logical relation of the complex information intuitively which can effectively improve the management ability of the multi-domain policy integration. Based on the role-based access control model, this paper proposed two policy analyzing methods on the separated domain statistical information of multi-domain policy integration conflicts and the policy element levels of inter-domain and element mapping of cross-domain respectively. In addition, the corresponding visualization tool is developed. We use the tree-maps algorithm to statistically analyze quantity and type of the policy integration conflicts. On that basis, the semantic substrates algorithm is applied to concretely analyze the policy element levels of inter-domain and role and permission mapping of cross-domain. Experimental result shows tree-maps and semantic substrates can effectively analyze the conflicts of multi-domain policy integration and have a good application value.展开更多
Saliency detection models, which are used to extract salient regions in visual scenes, are widely used in various multimedia processing applications. It has attracted much attention in the area of computer vision over...Saliency detection models, which are used to extract salient regions in visual scenes, are widely used in various multimedia processing applications. It has attracted much attention in the area of computer vision over the past decades. Since most images or videos over the Internet are stored in compressed domains such as images in JPEG format and videos in MPEG2 format, H.264 format, and MPEG4 Visual format, many saliency detection models have been proposed in the compressed domain recently. We provide a review of our works on saliency detection models in the compressed domain in this paper.Besides, we introduce some commonly used fusion strategies to combine spatial saliency map and temporal saliency map to compute the final video saliency map.展开更多
Lithium niobate(LN)has remained at the forefront of academic research and industrial applications due to its rich material properties,which include second-order nonlinear optic,electro-optic,and piezoelectric properti...Lithium niobate(LN)has remained at the forefront of academic research and industrial applications due to its rich material properties,which include second-order nonlinear optic,electro-optic,and piezoelectric properties.A further aspect of LN’s versatility stems from the ability to engineer ferroelectric domains with micro and even nano-scale precision in LN,which provides an additional degree of freedom to design acoustic and optical devices with improved performance and is only possible in a handful of other materials.In this review paper,we provide an overview of the domain engineering techniques developed for LN,their principles,and the typical domain size and pattern uniformity they provide,which is important for devices that require high-resolution domain patterns with good reproducibility.It also highlights each technique's benefits,limitations,and adaptability for an application,along with possible improvements and future advancement prospects.Further,the review provides a brief overview of domain visualization methods,which is crucial to gain insights into domain quality/shape and explores the adaptability of the proposed domain engineering methodologies for the emerging thin-film lithium niobate on an insulator platform,which creates opportunities for developing the next generation of compact and scalable photonic integrated circuits and high frequency acoustic devices.展开更多
以科学计量学和可视化分析技术为手段,利用CiteSpace软件对Web of Science(WoS)核心合集数据库中1991—2025年关于危险废物研究的文献进行知识图谱可视化分析。结果表明:当前有关危险废物的研究依旧处于向上发展阶段;中国关于危险废物...以科学计量学和可视化分析技术为手段,利用CiteSpace软件对Web of Science(WoS)核心合集数据库中1991—2025年关于危险废物研究的文献进行知识图谱可视化分析。结果表明:当前有关危险废物的研究依旧处于向上发展阶段;中国关于危险废物研究发展迅速,是该领域研究核心力量;昆明理工大学是国际上危险废物研究突现值最高的机构,具有重要的学术影响力;国际上关于危险废物的研究热点主要聚焦在废物利用技术攻关和固废资源化方面,国内研究趋势多根据当前国情政策,围绕“无废城市”建设、小微企业收集试点等展开。研究是为了更全面地了解当前危险废物的研究发展,以期对危险废物规范化管理和技术研究有所启示。展开更多
In order to detect the sleep spindles simply and efficiently, a novel time-domain approach to detect sleep spindles based on the principles of visual organization is proposed. The code idea of the visual organization ...In order to detect the sleep spindles simply and efficiently, a novel time-domain approach to detect sleep spindles based on the principles of visual organization is proposed. The code idea of the visual organization is to organize the primary visual elements according to some rules of organization, and to form a more meaningful object of visual processing, as the input of next process. After the collected EEG is processed with the merging algorithm based on the principle of visual organization, it can extract the time-domain feature frequency and duration time better. Use these features with a simple algorithm to detect spindles achieving sensitivity of 92.5% and specificity of 98.1%, which verifies the validity of this method to detect the sleep spindles.展开更多
目的随着视觉大模型的发展,利用多源无标注遥感影像预训练学习全局视觉特征,并在局部目标任务上进行迁移微调,已成为遥感影像领域自适应的一种新范式。然而,现有的全局预训练策略主要聚焦于学习低级的通用视觉特征,难以捕捉复杂、高层...目的随着视觉大模型的发展,利用多源无标注遥感影像预训练学习全局视觉特征,并在局部目标任务上进行迁移微调,已成为遥感影像领域自适应的一种新范式。然而,现有的全局预训练策略主要聚焦于学习低级的通用视觉特征,难以捕捉复杂、高层次的语义关联。此外,微调过程中使用的少量标注样本往往只反映目标域的特定场景,无法充分激活全局模型中与目标域匹配的领域知识。因此,面对复杂多变的遥感影像跨时空领域偏移,现有方法得到的全局模型与目标任务之间仍然存在巨大的语义鸿沟。为应对这一挑战,本文提出一种语言文本引导的“全局模型预训练—局部模型微调”的领域自适应框架。方法提出框架针对遥感数据的时空异质性特点,借助大型视觉语言助手LLaVA(large language and vision assistant)生成包含季节、地理区域及地物分布等时空信息的遥感影像文本描述。通过语言文本引导的学习帮助全局模型挖掘地物的时空分布规律,增强局部任务微调时相关领域知识的激活。结果在对比判别式、掩码生成式和扩散生成式3种不同全局预训练策略上设置了3组“全局—局部”跨时空领域自适应语义分割实验来验证提出框架的有效性。以全局→局部(长沙)为例,使用语言文本引导相比于无文本引导在3种不同预训练策略上分别提升了8.7%、4.4%和2.9%。同样地,提出框架在全局→局部(湘潭)和全局→局部(武汉)上也都有性能提升。结论证明了语言文本对准确理解跨时空遥感影像中的语义内容具有积极影响。与无文本引导的学习方法相比,提出框架显著提升了模型的迁移性能。展开更多
为全面分析常导高速磁浮线路轨道系统的研究进展,通过Web of Science、EI、中国知网与万方数据核心数据库检索获取1987~2023年321篇中英文相关文献,涵盖16个国家与地区和59个国内机构;首次利用文献计量方法并借助CiteSpace工具构建科学...为全面分析常导高速磁浮线路轨道系统的研究进展,通过Web of Science、EI、中国知网与万方数据核心数据库检索获取1987~2023年321篇中英文相关文献,涵盖16个国家与地区和59个国内机构;首次利用文献计量方法并借助CiteSpace工具构建科学知识图谱梳理常导高速磁浮线路轨道系统研究进展;基于文献时空分布特点,关键词共现、突现与聚类分析,对领域发展脉络、研究力量、研究主题与热点进行分析总结并可视化展示。研究结果表明:常导高速磁浮线路轨道系统研究经历了发展起步阶段、初步发展阶段,目前正处于高速发展阶段;领域研究热度与重要工程建设和政策支持呈正相关;中国是领域研究的中坚力量,所发表英文研究成果占总体的83.82%;研究核心机构以高校为主,与企业有紧密联系;研究主题主要围绕线路设计优化,轨道梁结构设计,轨道制造和安装技术研究,轨道静力学与动力学性能分析,环境荷载响应分析,系统耦合动力学响应分析,轨道结构检测、监测与维护等7个方向展开;从研究热点上看,以车轨耦合效应、轨道结构检测与监测为主,设计、制造和维护等方面的研究还略显不足。上述计量分析成果表明常导高速磁浮线路轨道系统研究还存在较大提升空间,中国新一代时速600 km高速磁浮交通发展将是提升该领域研究水平的良好契机。展开更多
文摘The complexity of multi-domain access control policy integration makes it difficult to understand and manage the policy conflict information. The policy information visualization technology can express the logical relation of the complex information intuitively which can effectively improve the management ability of the multi-domain policy integration. Based on the role-based access control model, this paper proposed two policy analyzing methods on the separated domain statistical information of multi-domain policy integration conflicts and the policy element levels of inter-domain and element mapping of cross-domain respectively. In addition, the corresponding visualization tool is developed. We use the tree-maps algorithm to statistically analyze quantity and type of the policy integration conflicts. On that basis, the semantic substrates algorithm is applied to concretely analyze the policy element levels of inter-domain and role and permission mapping of cross-domain. Experimental result shows tree-maps and semantic substrates can effectively analyze the conflicts of multi-domain policy integration and have a good application value.
文摘Saliency detection models, which are used to extract salient regions in visual scenes, are widely used in various multimedia processing applications. It has attracted much attention in the area of computer vision over the past decades. Since most images or videos over the Internet are stored in compressed domains such as images in JPEG format and videos in MPEG2 format, H.264 format, and MPEG4 Visual format, many saliency detection models have been proposed in the compressed domain recently. We provide a review of our works on saliency detection models in the compressed domain in this paper.Besides, we introduce some commonly used fusion strategies to combine spatial saliency map and temporal saliency map to compute the final video saliency map.
基金supported by the Australian Research Council Centre of Excellence in Optical Microcombs for Breakthrough Science COMBS(CE230100006)the Australian Research Council grants DP220100488 and DE230100964funded by the Australian Government.
文摘Lithium niobate(LN)has remained at the forefront of academic research and industrial applications due to its rich material properties,which include second-order nonlinear optic,electro-optic,and piezoelectric properties.A further aspect of LN’s versatility stems from the ability to engineer ferroelectric domains with micro and even nano-scale precision in LN,which provides an additional degree of freedom to design acoustic and optical devices with improved performance and is only possible in a handful of other materials.In this review paper,we provide an overview of the domain engineering techniques developed for LN,their principles,and the typical domain size and pattern uniformity they provide,which is important for devices that require high-resolution domain patterns with good reproducibility.It also highlights each technique's benefits,limitations,and adaptability for an application,along with possible improvements and future advancement prospects.Further,the review provides a brief overview of domain visualization methods,which is crucial to gain insights into domain quality/shape and explores the adaptability of the proposed domain engineering methodologies for the emerging thin-film lithium niobate on an insulator platform,which creates opportunities for developing the next generation of compact and scalable photonic integrated circuits and high frequency acoustic devices.
文摘以科学计量学和可视化分析技术为手段,利用CiteSpace软件对Web of Science(WoS)核心合集数据库中1991—2025年关于危险废物研究的文献进行知识图谱可视化分析。结果表明:当前有关危险废物的研究依旧处于向上发展阶段;中国关于危险废物研究发展迅速,是该领域研究核心力量;昆明理工大学是国际上危险废物研究突现值最高的机构,具有重要的学术影响力;国际上关于危险废物的研究热点主要聚焦在废物利用技术攻关和固废资源化方面,国内研究趋势多根据当前国情政策,围绕“无废城市”建设、小微企业收集试点等展开。研究是为了更全面地了解当前危险废物的研究发展,以期对危险废物规范化管理和技术研究有所启示。
文摘In order to detect the sleep spindles simply and efficiently, a novel time-domain approach to detect sleep spindles based on the principles of visual organization is proposed. The code idea of the visual organization is to organize the primary visual elements according to some rules of organization, and to form a more meaningful object of visual processing, as the input of next process. After the collected EEG is processed with the merging algorithm based on the principle of visual organization, it can extract the time-domain feature frequency and duration time better. Use these features with a simple algorithm to detect spindles achieving sensitivity of 92.5% and specificity of 98.1%, which verifies the validity of this method to detect the sleep spindles.
文摘目的随着视觉大模型的发展,利用多源无标注遥感影像预训练学习全局视觉特征,并在局部目标任务上进行迁移微调,已成为遥感影像领域自适应的一种新范式。然而,现有的全局预训练策略主要聚焦于学习低级的通用视觉特征,难以捕捉复杂、高层次的语义关联。此外,微调过程中使用的少量标注样本往往只反映目标域的特定场景,无法充分激活全局模型中与目标域匹配的领域知识。因此,面对复杂多变的遥感影像跨时空领域偏移,现有方法得到的全局模型与目标任务之间仍然存在巨大的语义鸿沟。为应对这一挑战,本文提出一种语言文本引导的“全局模型预训练—局部模型微调”的领域自适应框架。方法提出框架针对遥感数据的时空异质性特点,借助大型视觉语言助手LLaVA(large language and vision assistant)生成包含季节、地理区域及地物分布等时空信息的遥感影像文本描述。通过语言文本引导的学习帮助全局模型挖掘地物的时空分布规律,增强局部任务微调时相关领域知识的激活。结果在对比判别式、掩码生成式和扩散生成式3种不同全局预训练策略上设置了3组“全局—局部”跨时空领域自适应语义分割实验来验证提出框架的有效性。以全局→局部(长沙)为例,使用语言文本引导相比于无文本引导在3种不同预训练策略上分别提升了8.7%、4.4%和2.9%。同样地,提出框架在全局→局部(湘潭)和全局→局部(武汉)上也都有性能提升。结论证明了语言文本对准确理解跨时空遥感影像中的语义内容具有积极影响。与无文本引导的学习方法相比,提出框架显著提升了模型的迁移性能。
文摘为全面分析常导高速磁浮线路轨道系统的研究进展,通过Web of Science、EI、中国知网与万方数据核心数据库检索获取1987~2023年321篇中英文相关文献,涵盖16个国家与地区和59个国内机构;首次利用文献计量方法并借助CiteSpace工具构建科学知识图谱梳理常导高速磁浮线路轨道系统研究进展;基于文献时空分布特点,关键词共现、突现与聚类分析,对领域发展脉络、研究力量、研究主题与热点进行分析总结并可视化展示。研究结果表明:常导高速磁浮线路轨道系统研究经历了发展起步阶段、初步发展阶段,目前正处于高速发展阶段;领域研究热度与重要工程建设和政策支持呈正相关;中国是领域研究的中坚力量,所发表英文研究成果占总体的83.82%;研究核心机构以高校为主,与企业有紧密联系;研究主题主要围绕线路设计优化,轨道梁结构设计,轨道制造和安装技术研究,轨道静力学与动力学性能分析,环境荷载响应分析,系统耦合动力学响应分析,轨道结构检测、监测与维护等7个方向展开;从研究热点上看,以车轨耦合效应、轨道结构检测与监测为主,设计、制造和维护等方面的研究还略显不足。上述计量分析成果表明常导高速磁浮线路轨道系统研究还存在较大提升空间,中国新一代时速600 km高速磁浮交通发展将是提升该领域研究水平的良好契机。
